Data Engineer Resume Guide — Pipelines, Warehouses, and ETL

Data engineering resumes should showcase pipelines, data quality, and the business value of reliable data.

Quantify pipeline scale: 'Built batch and streaming pipelines processing 50TB+ daily with 99.9% SLA compliance.'

Show warehouse design: 'Designed a medallion-architecture warehouse in Snowflake serving 200+ analytics users.'

Include tooling: Python, Spark, Airflow, dbt, Kafka, Flink, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Looker.

Show data quality wins: 'Implemented data quality tests with dbt, reducing downstream reporting errors by 80%.'

Mention cost optimization: 'Optimized warehouse compute, cutting query costs 40% while improving performance.'

Show collaboration: 'Partnered with data scientists to deliver feature stores that cut model training time in half.'

Include reliability: 'Built monitoring and alerting for all pipelines, reducing silent failures to near zero.'